Evolving conductive polymer neural networks on wetware
Evolving conductive polymer neural networks on wetware
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DOI：
10.35848/1347-4065/ab8e06
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发表时间：
2020-06-01
影响因子：
1.5
通讯作者：
Asai, Tetsuya
中科院分区：
文献类型：
--
作者：
Akai-Kasaya, Megumi;Hagiwara, Naruki;Asai, Tetsuya
大脑中的神经网络是在三维（3D）空间中构建的，并且网络通过发展和学习而发展，而二维（2D）交叉杆基本上已经针对完全连接的神经网络进行了优化，这导致未使用的忆阻器的显着增加。在这里，我们提出了一个原型的分子神经网络湿件组成的空间自由突触介质浸泡在单体溶液。在该介质中，仅在必要时通过学习在多个电极之间生长导电聚合物线，即不预先放置聚合物线，这与目前的2D交叉杆装置不同。通过实验，我们找到了突触聚合物丝生长的必要条件。我们首先展示了简单布尔函数的学习，然后通过使用我们的系统（包括突触介质及其外部控制器）进行数据编码任务。这些结果对于扩展无空间突触发育的概念是有价值的，即将我们的2D突触介质扩展到3D原则上是可能的。
Neural networks in the brain are structured in three-dimensional (3D) space, and the networks evolve through development and learning, whereas two-dimensional (2D) crossbars have essentially been optimized for a fully connected neural network, which results in a significant increase in unused memristors. Here, we present a prototype of molecular neural networks on wetware consisting of a space-free synaptic medium immersed in monomer solution. In the medium, conductive polymer wires are grown between multiple electrodes through learning only when necessary, i.e. no polymer wire is pre-placed, unlike present 2D crossbar devices. Through experiments, we found the necessary growth conditions for synaptic polymer wires. We first demonstrated the learning of simple Boolean functions and then data-encoding tasks by using our system comprising the synaptic media and their external controllers. These results are valuable for expanding the concept of space-free synapse development, i.e. extending our 2D synaptic media to 3D is possible in principle.